Karel G. M. Moons

Metrics reloaded: recommendations for image analysis validation

2024 · 354 Zit. · Nature Methods

Understanding metric-related pitfalls in image analysis validation

2024 · 156 Zit. · Nature Methods

Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease

2022 · 130 Zit. · European Heart Journal

Metrics reloaded: Recommendations for image analysis validation

2022 · 62 Zit. · arXiv (Cornell University)

Availability of Evidence for Predictive Machine Learning Algorithms in Primary Care

2024 · 23 Zit. · JAMA Network Open

The TRIPOD-LLM Statement: A Targeted Guideline For Reporting Large Language Models Use

2024 · 22 Zit. · medRxiv

Understanding metric-related pitfalls in image analysis validation

2023 · 20 Zit. · IT University Of Copenhagen (IT University of Copenhagen)

Evaluation of performance measures in predictive artificial intelligence models to support medical decisions: overview and guidance

2025 · 13 Zit. · The Lancet Digital Health

Publisher Correction: Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI

2022 · 8 Zit. · Nature Medicine

Expert panel as reference standard procedure in diagnostic accuracy studies: a systematic scoping review and methodological guidance

2025 · 5 Zit. · Diagnostic and Prognostic Research

Comparing methods addressing multi-collinearity when developing\n prediction models

2021 · 4 Zit. · arXiv (Cornell University)

The TRIPOD-LLM reporting guideline for studies using large language models: a Korean translation

2025 · 1 Zit. · The Ewha Medical Journal

Explainable AI in Healthcare: to Explain, to Predict, or to Describe?

2025 · 0 Zit. · ArXiv.org